Exam Code: C100DBA Practice test 2023 by Killexams.com team
MongoDB Certified DBA Associate
MongoDB Certified study help
Killexams : MongoDB Certified study help - BingNews https://killexams.com/pass4sure/exam-detail/C100DBA Search results Killexams : MongoDB Certified study help - BingNews https://killexams.com/pass4sure/exam-detail/C100DBA https://killexams.com/exam_list/MongoDB Killexams : Best Big Data Certifications

Today’s organizations are looking for better ways to pull the information they need from massive volumes of data available to them. Big data system administrators store, manage and transfer large sets of data, making them amenable to analysis. Data analytics is the practice of examining the raw data to identify patterns and draw conclusions. Business intelligence involves the collection and organization of information to report on business activities, often pulling data from those very sets.

Along with the surge in big data interest comes a growing number of certifications to recognize the necessary skills in working with enormous data sets. The target audience is IT professionals with a background in analytics, data mining, business intelligence or data management, along with a knack for and interest in mathematics and statistics. Big data engineers are in reasonably high demand and usually command salaries of $101,000 or more, where data scientists average about $128,500 in salary.

We took a detailed look at certifications from INFORMS, MicrosoftMongoDBOracle and SAS. Check out the results from our informal search of various job boards to see which certifications employers really want. However, these results are a snapshot from a specific day, time and geography, so they may not reflect real job demands in your locality when you search for yourself.

Job board search results (in alphabetical order, by certification)

Certification SimplyHired Indeed LinkedIn LinkUp >Total
CAP* (INFORMS) 27 39 >94 69 229
>MCSE: Data Management and Analytics (Microsoft) 377 >271 31 320 >999
>MongoDB Certified DBA 12 13 8 5 38
>MongoDB Certified Developer 104 124 49 31 308
Oracle Business Intelligence 323 >503 713 194 1,733
SAS Certified Data Scientist 88 11 10 18 228

*Certified Analytics Professional

CAP: Certified Analytics Professional

INFORMS is a membership-based association aimed at practitioners, researchers and instructors in analytics, as well as operations research and management sciences. The association reports about 12,500 members from nearly 90 countries, most of whom participate in various educational and networking opportunities via their INFORMS membership.

The organization also sponsors the vendor-neutral Certified Analytics Professional (CAP) certification. CAP focuses on seven domains of the analytics process:

  • Business problem framing
  • Analytics problem framing
  • Data
  • Methodology selection
  • Model building
  • Deployment
  • Model lifecycle management

Candidates must meet rigorous education and experience requirements, obtain confirmation from a supervisor (current or former) of acceptable soft skills, agree to a code of ethics, and pass one computer-based exam.

This credential must be renewed every three years by earning 30 professional development units (PDUs). INFORMS also requires a $100 annual maintenance fee beginning in the fourth year after certification.

CAP facts and figures

>Certification name Certified Analytics Professional (CAP)
Prerequisites and required courses Eligibility to sit for exam:
  • A BA/BS degree or MA/MS degree in an analytics-related area (as approved by INFORMS)
  • A minimum of 3 years of professional analytics-related experience with an MA/MS degree related to analytics OR 5 years with a related BA/BS degree related OR 7 years with a BA/BS degree or higher that’s not related to analytics
  • Supervisory confirmation of demonstration of acceptable soft skills
  • Agreement to code of ethics
>Number of exams 1 test (100 multiple-choice questions, 3 hours)
Cost per exam Exam: $495 member, $695 nonmember

Re-examination fee: $300 member, $400 nonmember

Exams administered by Kryterion. Candidates must be approved by INFORMS and pay for the test before registering with an test site.

>URL https://www.certifiedanalytics.org/
Self-study materials The Certified Analytics Professional Candidate Handbook includes test Topics (the 7 domains), sample test questions and a list of self-study resources. A study guide is available on the CAP website (membership or registration required).

MCSE: Data Management and Analytics

Microsoft is part of the big data mix with its MCSE: Data Management and Analytics certification, which leans heavily toward SQL Server 2016 and emphasizes cloud environments and reporting. This credential replaces the Microsoft Certified Solutions Expert (MCSE): Business Intelligence, which retired on March 31, 2017.

The MCSE: Data Management and Analytics requires candidates to earn an MCSA certification and then pass an elective exam. The MCSA certifications to choose from are MCSA: SQL Server 2012/2014; MCSA: SQL 2016 Database Administration; MCSA: SQL 2016 Database Development; MCSA: SQL 2016 BI Development; MCSA: Machine Learning; MCSA: BI Reporting; and MCSA: Data Engineering with Azure. There are 12 MCSE elective exams, which focus on a variety of cloud, big data analytics and BI topics, with machine learning now added to the MCSA certifications.

To maintain this certification, you must pass an additional elective test each year. Doing so adds an entry to your transcript that indicates your commitment to staying current on technologies and expanding your skill set.

MCSE: Data Management and Analytics facts and figures

Number of exams

Certification name MCSE: Data Management and Analytics
Prerequisites and required courses Prerequisites (1 required):
  • MCSA: SQL Server 2012/2014
  • MCSA: SQL 2016 BI Development
  • MCSA: SQL 2016 Database Administration
  • MCSA: SQL 2016 Database Development
  • MCSA: Machine Learning
  • MCSA: BI Reporting
  • MCSA: Data Engineering with Azure

Training courses available and recommended for all certifications but not required.

One of the following:
  • 70-473: Designing and Implementing Cloud Data Platform Solutions
  • 70-475: Designing and Implementing Big Data Analytics Solutions
  • 70-464: Developing Microsoft SQL Server Databases
  • 70-465: Designing Database Solutions for Microsoft SQL Server
  • 70-466: Implementing Data Models and Reports with Microsoft SQL Server
  • 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server
  • 70-762: Developing SQL Databases
  • 70-767: Implementing a Data Warehouse Using SQL
  • 70-768: Developing SQL Data Models
  • 70-773: Analyzing Big Data with Microsoft R*
  • 70-774: Perform Cloud Data Science with Azure Machine Learning
  • 70-775: Perform Data Engineering on Microsoft Azure HDInsight
Cost per exam $165, administered by Pearson VUE.
URL https://www.microsoft.com/en-us/learning/mcse-data-management-analytics.aspx
Self-mtudy Materials Each test page has links to instructor-led training, test prep videos, self-paced training, practice exams and books.

*Exam to be retired on June 30, 2019. Replacement test not yet released but should be available prior to that date.

MongoDB NoSQL certifications

MongoDB is both an open-source, NoSQL document-oriented database and the name of the company providing that technology. Because of its document-oriented NoSQL model, MongoDB is well suited for managing large amounts of loosely structured data, as is so often the case in big data projects.

MongoDB was deemed a leader in Forrester Wave: Big Data NoSQL, Q3 2016, and Gartner selected MongoDB as a challenger in its 2016 Magic Quadrant for Operational Database Management Systems. The database ranks fifth in overall database engine popularity as of March 2019.

The MongoDB NoSQL certification program recognizes developers and operations professionals who can create and run applications on MongoDB. The program offers two associate-level credentials: MongoDB Certified DBA and MongoDB Certified Developer. The company plans to eventually roll out higher-level certifications. The current exams are based on MongoDB V4.0.

MongoDB offers private, instructor-led classroom training as well as free online video training through MongoDB University. Each online course typically runs for 3-7 weeks and features video lectures, quizzes, weekly assignments, and a final test or project. Students may use the forums to interact and address each other’s questions; instructors and teaching assistants monitor forums and jump in when needed.

For database professionals interested in venturing into big data projects and NoSQL databases, the MongoDB certification is certainly a worthwhile goal.

MongoDB NoSQL certification facts and figures

>Certification name MongoDB Certified DBA, Associate Level

MongoDB Certified Developer, Associate Level

Prerequisites and required courses None; training recommended but not required
Number of exams 1 test per credential (multiple-choice questions, 90 minutes; delivered online through MongoDB’s proctoring partner)
  • C100DBA: MongoDB Certified DBA Associate Exam
  • C100DEV: MongoDB Certified Developer Associate Exam
Cost per exam $150 (or local currency equivalent)
>URL https://university.mongodb.com/certification
Self-study materials MongoDB University offers public and private training, as well as free online courses. Each test webpage includes a study guide and links to documentation, presentations and test study sessions (if available).

Oracle Business Intelligence certification

Oracle has one of the largest certification programs in the world, and it has granted more than 1 million Oracle and Sun certifications.

Oracle offers its Business Intelligence (BI) certifications across several applications and platforms, such as Business Intelligence Applications 7 for CRM, Business Intelligence Applications 7 for ERP, and Business Intelligence Foundation 11g. To narrow down the field, we focused on the Oracle Business Intelligence Foundation Suite 11g Certified Implementation Specialist credential.

Candidates for this certification are intermediate-level professionals (architects, analysts, developers and administrators) who work with Oracle Business Intelligence Suite solutions, performing tasks such as installing, building, querying, configuring, and managing the platform and BI dashboards.

Although anyone can attempt the exam, the certification is designed for members of the Oracle Partner Network who sell and deploy the technology.

New exams and training courses based on Oracle BI 12c are also becoming available as those courses and exams are released to the public.

Oracle Business Intelligence certification facts and figures

Certification name Oracle Business Intelligence Foundation Suite 11g Certified Implementation Specialist
Prerequisites and required courses None.


Number of exams 1 exam: 1Z0-591 Oracle Business Intelligence Foundation Suite 11g Essentials (75 multiple-choice questions, 120 minutes, 63% passing score)
Cost per exam $245, administered by Pearson VUE. Exam vouchers may be purchased from Oracle University or Pearson VUE; Oracle Testing ID required to register; Oracle Partner Network members also need their OPN Company ID.
URL https://www.oracle.com/partners/en/knowledge-zone/bi11g-essentials-exam-studyguide-1643168.pdf
Self-study materials Training is available, including classroom, live virtual class, training on demand, self-study, learning streams and practice exams. Additional test preparation materials are listed on the test webpage.

SAS Certified Data Scientist

SAS is a multibillion-dollar global corporation that specializes in business analytics software and services. The company’s well-honed certification program offers nine credentials across programming, information and data management, advanced analytics, and business intelligence.

Three noteworthy SAS certifications are the SAS Certified Data ScientistSAS Certified Statistical Business Analyst Using SAS 9: Regression and ModelingBusiness Intelligence Content Developer for SAS 9, and SAS Certified Big Data Professional Using SAS 9. We concentrated on the SAS Certified Data Scientist Using SAS 9.

Candidates for the Data Scientist certification should have in-depth knowledge of and skills in manipulating big data using SAS and open-source tools, using complex machine learning models, making business recommendations, and deploying models. Candidates must pass five exams to earn the SAS Certified Data Scientist credential.

SAS doesn’t require candidates to take certification courses as a prerequisite for exams, but the company offers an official curriculum for those who have the budget and need the extra preparation.

SAS “versioned” credentials, such as the SAS Certified Data Scientist Using SAS 9, do not expire. However, SAS may retire exams as new or enhanced software is released.

SAS Certified Data Scientist facts and figures

<td”>$180; Predictive Modeling test is $250

See the Certification Discount Packages webpage for discounts for faculty, staff, students, veterans and others.


Certification name SAS Certified Data Scientist Using SAS 9
Prerequisites and required courses SAS Certified Big Data Professional Using SAS 9

SAS Certified Advanced Analytics Professional Using SAS 9

See a list of courses that support Big Data and Advanced Analytics on the SAS Academy for Data Science webpage. Recommended Data Scientist training: SAS Certified Data Scientist (e-learning, $4,400; live instructor-led in Cary, North Carolina; 12 weeks, $16,000)

>Number of exams 5 exams:
  • SAS Certified Big Data Professional Using SAS:
    • SAS Big Data Preparation, Statistics and Visual Exploration
    • SAS Big Data Programming and Loading
  • SAS Certified Advanced Analytics Professional Using SAS:
    • Predictive Modeling Using SAS Enterprise Miner 13 or 14
    • SAS Advanced Predictive Modeling
    • SAS Text Analytics, Time Series, Experimentation and Optimization

Exams include multiple-choice, short-answer and interactive questions (interactives are in simulated SAS environment). Exams available through Pearson VUE.

Cost per exam
URL https://www.sas.com/en_us/certification/credentials/advanced-analytics/data-scientist.html
Self-study materials List of test preparation training and materials available on individual test pages. Free sample questions available. Practice exams ($500) available through SAS and Pearson VUE.

Beyond the top 5: More big data certifications

It was a real challenge to whittle down this year’s list of popular big data certifications. The Cloudera Certified Professional Data Engineer (CCP Data Engineer) missed a spot in the top five by a small margin. The company also offers CCA Spark and Hadoop Developer and CCA Data Analyst certifications. Given the company’s leadership status in software and services based on Hadoop, the CCP Data Engineer certification is worth your consideration.

Other notable certifications include the IBM Certified Data Architect, the EMC: Data Science (EMCDS), and those from Amazon Web Services (AWS), HortonworksMapR and Teradata.

Check out Stanford’s Data Mining and Applications graduate certificate. Although it’s not a vendor-neutral or vendor-specific certification (it’s a college certificate), TechExams forum members like it in terms of popularity and job prospects. The certificate requires completion of three courses (nine college units) at a cost of $11,340 to $12,600. The Microsoft Professional Program (MPP) currently offers four tracks for online education with course completion certificates, including two relevant tracks: one on data science, the other on big data. These are worth checking out as well, and significantly cheaper than the Stanford certificate program.

There are many more. A quick Google search every month or two should reveal a growing list of big data, data analytics and BI certifications, and we think one or more of these is a smart way to spend your certification dollars.

Sun, 22 Jan 2023 10:00:00 -0600 en text/html https://www.businessnewsdaily.com/10754-best-big-data-certifications.html
Killexams : MongoDB (MDB) Dips More Than Broader Markets: What You Should Know No result found, try new keyword!MongoDB (MDB) closed at $213.13 in the latest ... Zacks Investment Research has just released an urgent special report to help you bank on this trend. In Oil Market on Fire, you'll discover ... Thu, 16 Feb 2023 10:00:00 -0600 text/html https://www.nasdaq.com/articles/mongodb-mdb-dips-more-than-broader-markets:-what-you-should-know-3 Killexams : The State of the Open-Source Database Software Market | New Research Report (2023-2029)

The MarketWatch News Department was not involved in the creation of this content.

Feb 08, 2023 (The Expresswire) -- Open-Source Database Software Market Size 2023-2029 | New Report (111 Pages) | In This Reports Open-Source Database Software Market and its business scene, significant issues, answers for relieving the upgrading risk, methodologies, future lookout, and possibilities, Other than the standard design reports, Top Open-Source Database Software Companies (MySQL, MariaDB, Titan, Neo4j, Redis, SQLite, MongoDB, Couchbase, Apache Hive) with the best facts and figures, definitions, SWOT and PESTAL analysis, expert opinions and the latest trends around the world.

To know How COVID-19 and Russia-Ukraine War Influence Will Impact This Market/Industry-Request a sample copy of the report-:https://www.researchreportsworld.com/enquiry/request-covid19/20630232

Moreover, the Open-Source Database Software Market Report includes data on research and development, New product launches, product feedback from global and regional markets by key players. This structured analysis provides a graphical representation and strategic breakdown of the Open-Source Database Software market by region.

Who are the key players in the Open-Source Database Software market?

List of TOP KEY PLAYERS in Open-Source Database Software Market Report are: -

● MariaDB
● Titan
● Neo4j
● Redis
● SQLite
● MongoDB
● Couchbase
● Apache Hive

Get a sample PDF of the Open-Source Database Software Market Report

Open-Source Database Software Market Analysis and Insights

This report aims to provide a comprehensive presentation of the global market for Open-Source Database Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Open-Source Database Software.

The Open-Source Database Software market size, estimations, and forecasts are provided in terms of and revenue (USD millions), considering 2023 as the base year, with history and forecast data for the period from 2017 to 2029. This report segments the global Open-Source Database Software market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

The Research Report includes specific segments by region (country), by company, by Type and by Application. This study provides information about the sales and revenue during the historic and forecasted period of 2017 to 2029. Ask For sample Report

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Open-Source Database Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.

Get a sample PDF of the report at -https://www.researchreportsworld.com/enquiry/request-sample/20630232

What segments are covered Open-Source Database Software Market report?

Product Type Insights

Global markets are presented by Open-Source Database Software type, along with growth forecasts through 2029. Estimates on revenue are based on the price in the supply chain at which the Open-Source Database Software are procured by the companies.

This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows revenue data by type, and during the historical period (2017-2023) and forecast period (2023-2029).

Segmentby Type - Open-Source Database Software Market

● Cloud-based ● On Premises

Application Insights

This report has provided the market size (revenue data) by application, during the historical period (2018-2023) and forecast period (2023-2029).

This report also outlines the market trends of each segment and consumer behaviors impacting the Open-Source Database Software market and what implications these may have on the industry's future. This report can help to understand the relevant market and consumer trends that are driving the Open-Source Database Software market.

Segment by Application - Open-Source Database Software Market

● Large Enterprises ● SMEs

Enquire before purchasing this report -https://www.researchreportsworld.com/enquiry/pre-order-enquiry/20630232

What is the Open-Source Database Software market Share?

Open-Source Database Software Market Shareby Company Type Report is designed to incorporate both qualify qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. This report also provides a balanced and detailed analysis of the on-going Open-Source Database Software trends, opportunities/high growth areas, Open-Source Database Software market drivers which would help the investors to device and align their market strategies according to the current and future market dynamics.

The Global Open-Source Database Software Market Share report is provided for the international markets as well as development trends, competitive landscape analysis, and key regions development status. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report additionally states import/export consumption, supply and demand Figures, cost, price, revenue, and gross margins.

Which region has the largest share in Global Open-Source Database Software Market?

Regional Outlook

This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and sales data of each region and country for the period 2017-2029.

The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East and Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2023 because of the base year, with estimates for 2023 and forecast revenue for 2029.

This Report lets you identify the opportunities in Open-Source Database Software Market by means of a region:

● North America ● Europe ● Asia-Pacific ● South America ● The Middle East and Africa

COVID-19 and Russia-Ukraine War Influence Analysis

The readers in the section will understand how the Open-Source Database Software market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management, export and import, and production. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.

Reasons to Purchase this Report:

● Strong qualitative and quantitative market analysis based on the segment breakdown within the consideration of both economic as well as non-economic factors. ● Market evaluation based on market value (Data in USD Billion) for each segment breakdown. ● Indicates of the region and segment breakdown that is expected to witness the fastest growth rate and acts as market dominant. ● Analysis of geography highlighting, the region vice consumption of the product/service and an indication of the factors that are affecting the market within each region. ● The competitive landscape encompasses the market ranking of the major market competitors, new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled. ● The company profiles section provides an understanding of the company overview, company insights, product benchmarking, and SWOT analysis for the major market players. ● Current as well as the future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions). ● In-depth analysis of the market through Porter’s Five Forces Analysis. ● Provides insight into the market through Value Chain. ● The understanding of market dynamics scenario, growth opportunities of the market for the period of forecast. ● 6-month post-sales analyst support.

Key questions answered in the report:

● What is the growth potential of the Open-Source Database Software market? ● Which product segment will take the lion’s share? ● Which regional market will emerge as a pioneer in the years to come? ● Which application segment will experience strong growth? ● What growth opportunities might arise in the Open-Source Database Software industry in the years to come? ● What are the most significant challenges that the Open-Source Database Software market could face in the future? ● Who are the leading companies on the Open-Source Database Software market? ● What are the main trends that are positively impacting the growth of the market? ● What growth strategies are the players considering to stay in the Open-Source Database Software market?

Detailed Table of Content of Global Open-Source Database Software Market Research Report 2023

1 Open-Source Database Software Market Overview
1.1 Product Overview and Scope of Open-Source Database Software
1.2 Open-Source Database Software Segment by Type
1.3 Open-Source Database Software Segment by Application
1.4 Global Open-Source Database Software Market Size Estimates and Forecasts

2 Open-Source Database Software Market Competition by Manufacturers
2.1 Global Open-Source Database Software Market Share by Manufacturers (2017-2023)
2.2 Global Open-Source Database Software Revenue Market Share by Manufacturers (2017-2023)
2.3 Global Open-Source Database Software Average Price by Manufacturers (2017-2023)
2.4 Manufacturers Open-Source Database Software Manufacturing Sites, Area Served, Product Type
2.5 Open-Source Database Software Market Competitive Situation and Trends
2.6 Manufacturers Mergers and Acquisitions, Expansion Plans

3 Open-Source Database Software Retrospective Market Scenario by Region
3.1 Global Open-Source Database Software Retrospective Market Scenario in Sales by Region: 2017-2023
3.2 Global Open-Source Database Software Retrospective Market Scenario in Revenue by Region: 2017-2023
3.3 North America Open-Source Database Software Market Facts and Figures by Country
3.4 Europe Open-Source Database Software Market Facts and Figures by Country
3.5 Asia Pacific Open-Source Database Software Market Facts and Figures by Region

4 Global Open-Source Database Software Historic Market Analysis by Type
4.1 Global Open-Source Database Software Market Share by Type (2017-2023)
4.2 Global Open-Source Database Software Revenue Market Share by Type (2017-2023)
4.3 Global Open-Source Database Software Price by Type (2017-2023)

5 Global Open-Source Database Software Historic Market Analysis by Application
5.1 Global Open-Source Database Software Market Share by Application (2017-2023)
5.2 Global Open-Source Database Software Revenue Market Share by Application (2017-2023)
5.3 Global Open-Source Database Software Price by Application (2017-2023)

6 Key Companies Profiled

Get a sample PDF of the Open-Source Database Software Market Report

7 Open-Source Database Software Manufacturing Cost Analysis
7.1 Open-Source Database Software Key Raw Materials Analysis
7.2 Proportion of Manufacturing Cost Structure
7.3 Manufacturing Process Analysis of Open-Source Database Software
7.4 Open-Source Database Software Industrial Chain Analysis

8 Marketing Channel, Distributors and Customers
8.1 Marketing Channel
8.2 Open-Source Database Software Distributors List
8.3 Open-Source Database Software Customers

9 Open-Source Database Software Market Dynamics
9.1 Open-Source Database Software Industry Trends
9.2 Open-Source Database Software Market Drivers
9.3 Open-Source Database Software Market Challenges
9.4 Open-Source Database Software Market Restraints

10 Global Market Forecast
10.1 Open-Source Database Software Market Estimates and Projections by Type
10.2 Open-Source Database Software Market Estimates and Projections by Application
10.3 Open-Source Database Software Market Estimates and Projections by Region

11 Research Finding and Conclusion

12 Methodology and Data Source
12.1 Methodology/Research Approach
12.2 Data Source
12.3 Author List
12.4 Disclaimer

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Wed, 08 Feb 2023 17:13:00 -0600 en-US text/html https://www.marketwatch.com/press-release/the-state-of-the-open-source-database-software-market-new-research-report-2023-2029-2023-02-08
Killexams : Why Datadog, MongoDB, and CrowdStrike Were Sinking Today

What happened

Shares of cloud-based software companies Datadog (DDOG -3.01%), MongoDB (MDB -1.93%), and CrowdStrike (CRWD -0.76%) were sinking this morning, down 7.3%, 4.1%, and 5.6%, respectively, as of 11:20 a.m. ET.

There wasn't much company-specific news out of these three today, but it appears all are falling hard based on commentary from Microsoft (MSFT -1.56%), after the cloud giant released its earnings results last night for the second quarter of its fiscal 2023, ended Dec. 31, 2022. 

Microsoft stock actually rose initially after the report, as its quarterly cloud numbers came in better than feared; however, when giving guidance on the post-release conference call, management pointed to a sharper slowdown in the current quarter. And if a defensive, competitively advantaged juggernaut like Microsoft is slowing down that much, it makes these more expensive and profitless software-as-a-service (SaaS) companies more vulnerable.

So what

Datadog is a purely cloud-based software suite in the field of observability, which helps enterprises monitor and protect the health of their important applications. MongoDB started as an on-premises software database company, but its cloud-based MongoDB Atlas database-as-a-service product is its fastest-growing. And CrowdStrike also takes a cloud-first approach to cybersecurity, with its endpoint security agent consistently feeding data back into its cloud-based Threat Graph to Excellerate its algorithms.

So, overall health of cloud spending is central to each of these companies' growth. Yet on last night's conference call with analysts, Microsoft CEO Satya Nadella said:

[W]e are seeing customers exercise caution in this environment, and we saw results weaken through December. We saw moderated consumption growth in Azure and lower-than-expected growth in new business across the stand-alone Office 365, EMS, and Windows commercial products that are sold outside the Microsoft 365 suite. From a geographic perspective, we saw strong execution in many regions around the world. However, performance in the U.S. was weaker than expected.

CFO Amy Hood added that Microsoft saw its 38% Azure cloud growth (in constant currency) decelerate to the mid-30% range in December, and now expects that growth to decelerate another 4 to 5 percentage points in the current quarter.

That's a pretty big drop-off, as management noted customers have gone from accelerating their cloud spend during the pandemic to optimizing their cloud workloads and wringing out cost savings, while also pulling back on adding new software seats.

So why are Datadog, MongoDB, and CrowdStrike reacting even more harshly than Microsoft, which is only down about 3% as of this writing? This is likely because all of these companies are not profitable under generally accepted accounting principles (GAAP) yet, and are somewhat expensive based on a multiple of their sales. With interest rates increasing and the economy looking highly uncertain, investors are setting a much higher bar for no-profit growth stocks.

That means if a company is in its pre-profit growth and scaling phase, revenue growth needs to be really good to please investors today. And if a company as strong as Microsoft is seeing a growth slowdown, investors now fear a big deceleration in these three companies this year as well.

One other note of caution on CrowdStrike. One positive Nadella did note was the strength of Microsoft's cybersecurity products. Over the past year, Microsoft's integrated security stack surpassed $20 billion in revenue, with Microsoft noting customers were looking to consolidate cyber vendors across the space to save costs. While it's possible CrowdStrike could be one of those remaining winners, it appears the hypergrowth of cybersecurity software could become more challenged and competitive this year.

Now what

The technology sector is feeling the heat not only from the Federal Reserve's interest rate increases and a slowdown in the economy, but also coming off the accelerated cloud spending brought on by the pandemic.

The environment is a really tough one for unprofitable tech growth stocks, as they get hit in two ways; higher interest rates disproportionately penalize profits that are farther out into the future, and the hyper-growth of the past two years reverts to the mean. Until these companies start showing better profitability on a GAAP basis, and not "adjusted" for stock-based compensation, their stocks could remain challenged.

One positive to keep in mind; Nadella also reemphasized his view that technology, especially companies involved in digital transformation, should continue to grow at a higher pace than gross domestic product over the long term. That still means the tech sector is attractive from a long-term standpoint.

However, the sector appears to have run too far ahead of itself during the pandemic from a valuation standpoint. That makes profit-less software stocks a difficult trade right now. Still, these category leaders should be on investors' watch lists if they decline to lower valuations, or if interest rates fall in a meaningful way later this year.

Billy Duberstein has positions in Microsoft. His clients may own shares of the companies mentioned. The Motley Fool has positions in and recommends CrowdStrike, Datadog, Microsoft, and MongoDB. The Motley Fool has a disclosure policy.

Wed, 25 Jan 2023 03:22:00 -0600 Billy Duberstein en text/html https://www.fool.com/investing/2023/01/25/why-datadog-mongodb-and-crowdstrike-were-sinking-t/
Killexams : MongoDB Developer LW2046

Role-specific knowledge:

  • At least 3-5+ years of experience in executing data solutions using MongoDB.
  • Configuring schema and MongoDB data modeling
  • Experience with database security management
  • Experience with MongoDB Atlas
  • Thorough understanding of MongoDB architecture
  • Java, Python, or TypeScript
  • Git and CI/CD
  • Web services / REST API
  • Experience working in a SCRUM and DevOps environment.


  • AWS solution architecture experience
  • AWS in general, Amazon Lambda, ECS, S3, SNS, SQS, DynamoDB, CloudWatch
  • Amazon Glue, Athena
  • Angular
  • Jenkins
  • Docker
  • AGILE and/or SCRUM


  • Operate MongoDB Atlas cluster.
  • Improve provisioning and monitoring of MongoDB Atlas cluster.
  • Assess and Excellerate the MongoDB data model.
  • Assess and Excellerate application usage of MongoDB.
  • Plan for scaling, including sharding
  • Prepare necessary documentation.
  • Solve performance issues.
  • Develop MongoDB and API prototypes and proofs of concept.
  • Automate routine DB operations with scripting.

Minimum Requirements:

Formal qualifications:

  • Computer science, engineering, or mathematics degree, or equivalent proven experience
  • Several years of experience building solutions using Mongo DB
  • Several years of experience using Java, Python, or TypeScript

Desired Skills:

  • MongoDB
  • Java
  • Python
  • aws
  • Atlas Cluster

Learn more/Apply for this position

Tue, 31 Jan 2023 10:00:00 -0600 en-US text/html https://it-online.co.za/2023/02/01/mongodb-developer-lw2046/
Killexams : Partner content: Q&A: MongoDB's SVP of Product Andrew Davidson on enabling developers and building the next great app

All digital modernisation initiatives depend on enabling software developers to write great software applications. Traditionally, software developers have spent a huge amount of time wrestling with data, working around the limitations of legacy systems. Organisations need to enable software developers to build quickly and efficiently by removing the friction, especially in a climate of economic uncertainty where agility and cost efficiency are top of mind.

With MongoDB Atlas, a developer data platform, enterprises can enable their software developers to operate with speed and agility while putting data at the core of their business even when they find resources and budget getting tighter. 

Computing spoke with Andrew Davidson, SVP of Products at MongoDB, to learn about democratising the ability to build ‘smart' apps and the exciting developments that occur as a result.

Why should businesses be opting for NoSQL (document model) database programs like MongoDB's, instead of traditional ones?

"We're in the very early stages of a long-term secular shift. When you think about the relational, table-based data model that came out of the 1970s, the model was anchored to the key cost bottleneck of the time - storage costs. Today, storage and infrastructure building blocks are no longer bottlenecks. Instead, the key cost obstacle is developers' minds.

"We need to be empowering developers as the artisans of our new digital economy. Organisations must supply developers the right open and composable abstractions to build with.

"MongoDB's document data model gives developers a native, idiomatic way of interacting with data that for the first time doesn't force them to transform their data into tables. Our platform gives them the freedom of having a flexible model, enabling coding in the way they already think at the data layer. We've coupled that with being a distributed system early on, synergistically with the rise of cloud."

What have been the main data challenges for organisations in the past few years?

"The key data challenge is how to build software and applications effectively but quickly and achieve this where data is born and where it can be put to use. Operational data challenges often get lost in this debate - where software developers are toiling every day. These challenges hold back the ability for people to build applications and generate interesting new experiences. Unlocking the data where it's born is how to start building interesting business value.

"There's an enormous amount of management overhead that can go into traditional data systems that need to be augmented by key value systems, search engines, and caches, each requiring its own interfaces for developers with its own operational best security or patching practice.

"To be able to flip that on its head and have one declarative model managed with modern operational paradigms to supply the builder (application developers) exactly what they want - transactional capabilities, search capabilities, application-driven analytics capabilities, device synchronisation capabilities - enables teams to move faster with autonomy and self-service agility."

How will ‘smart' apps, with embedded intelligence, be a gamechanger? Where does MongoDB fit in?

"There are classic examples - using the embedded intelligence in an industrial supply chain or manufacturing context to predict a machine failing or maintenance needs. Or with fraud analytic scenarios that need real-time payment determinations of what is real vs fraudulent. When it comes to application-driven analytics, it involves not just human visibility of insights, but being able to have software on top of software to make decisions and take actions.

"Personally, I'm excited about how MongoDB will be employed in a way we don't yet know because we're making things so much more accessible, democratising access to powerful building blocks for builders. Just as technology shifted with the rise of mobile or cloud and possibilities were consequently opened up in  ways no one could have predicted These building blocks will enable meaningful changes to all our lives. I'm particularly excited about the power of Atlas Search, search will be the ubiquitous front door into so many applications, and it will power so many of the experiences we know and love (think auto-complete, faceting and more). For teams that don't have dedicated specialist teams, building with search natively out of the box in their database is a game changer that will enrich so many of the smart applications we'll all use.

What are the benefits to democratising access to data and analytics?

"Increasingly we're in a software-defined economy, meaning software developers are critical to every kind of business. Organisations can struggle to make developers effective or productive, not to mention they are expensive, hard to retain and difficult to hire. Giving developers a data model aligned to where they write their code, and the objects in their code can go directly to the database, means they can move much faster. There's no need to bolt on a different engine, database, or data system for each feature and each different application."

"Smart, intelligent applications are easier to build by more and more people. MongoDB Atlas gets 150,000 people signing up every month. There's a stadium full of people every month wanting to use a developer data platform. There are people coming up with a new idea that we've never thought of before. There's going to be so many more things that will enhance our lives in ways we're not thinking about yet.

"The number of developers is on the rise and it's interesting to watch more traditional enterprises and governments see this growing dynamic and strive to get a step ahead to avoid disruption. There's going to be empowerment of the citizen developer."

What should organisations be prioritising for investment in the new year amid economic uncertainty?

"Across industries we're facing a time of increased investment scrutiny. Leaders right now are focused on reducing cash burn as well as prioritising what matters most for their company and its future. Organisations need to be investing in adopting technologies that allow them to do more with resources in an agile way. I think it's a question of modernising where appropriate onto platforms that allow sophistication and agility - but be prudent about it.

"The ability for software engineers to build software applications that express the critical internal business processes, external customer-facing experiences, and internal employee experiences are the lifeblood of these companies. Today, all industries run software on top of software with layers of microservices largely invisible to us. People tasked with building all of this are the lubrication of the digital economy - they need to be able to do an enormous amount with less. With expectations to move faster, or if your competitors are raising the bar and you're not - you're being left behind."

To find out more about MongoDB visit mongodb.com

This post was funded by MongoDB.

Wed, 08 Feb 2023 21:44:00 -0600 en text/html https://www.computing.co.uk/sponsored/4074160/partner-content-mongodbs-svp-product-andrew-davidson-enabling-developers-building-great-app
Killexams : MongoDB Developer LW2046 – Gauteng Midrand

Role-specific knowledge:

  • At least 3-5+ years of experience in executing data solutions using MongoDB.
  • Configuring schema and MongoDB data modeling
  • Experience with database security management
  • Experience with MongoDB Atlas
  • Thorough understanding of MongoDB architecture
  • Java, Python, or TypeScript
  • Git and CI/CD
  • Web services / REST API
  • Experience working in a SCRUM and DevOps environment.


  • AWS solution architecture experience
  • AWS in general, Amazon Lambda, ECS, S3, SNS, SQS, DynamoDB, CloudWatch
  • Amazon Glue, Athena
  • Angular
  • Jenkins
  • Docker
  • AGILE and/or SCRUM


  • Operate MongoDB Atlas cluster.
  • Improve provisioning and monitoring of MongoDB Atlas cluster.
  • Assess and Excellerate the MongoDB data model.
  • Assess and Excellerate application usage of MongoDB.
  • Plan for scaling, including sharding
  • Prepare necessary documentation.
  • Solve performance issues.
  • Develop MongoDB and API prototypes and proofs of concept.
  • Automate routine DB operations with scripting.

Minimum Requirements:

Formal qualifications:

  • Computer science, engineering, or mathematics degree, or equivalent proven experience
  • Several years of experience building solutions using Mongo DB
  • Several years of experience using Java, Python, or TypeScript

Desired Skills:

  • MongoDB
  • Java
  • Python
  • aws
  • Atlas Cluster

Learn more/Apply for this position

Tue, 31 Jan 2023 10:00:00 -0600 en-US text/html https://it-online.co.za/2023/02/01/mongodb-developer-lw2046-gauteng-midrand/
Killexams : MongoDB eyes Kiwi presence ahead of NZ hyperscale cloud region launches
Anoop Dhankhar (MongoDB)

Anoop Dhankhar (MongoDB)

Credit: Supplied

2023 promises to be a vital year for MongoDB in New Zealand as the company aims to capitalise on the launch of local hyperscale cloud facilities.

A/NZ country manager Anoop Dhankhar told Reseller News the fast growing company, which hit US$1 billion in revenue earlier this year, already had partners on the ground locally as it also wooed local customers through the three major hyperscale cloud providers: Google Cloud Platform (GCP), AWS and Microsoft Azure.

In a sign of that intent, MongoDB hosted an event in Auckland in November where it presented a business growth update and insights from key local customer Lumin, a Christchurch-based developer of electronic document technology.

While MongoDB's heritage is as an open source provider of database technology, since 2017 it has styled itself as the provider of a SaaS data platform for systems integrators and developers who need to build high-performance distributed applications quickly and at scale.

That platform, dubbed Atlas, is now where most of MongoDB's revenue comes from.